Youtube has been another source for data collection for abusive language in English [1]}, [2]} as well as in other languages, in particular, Arabic [3]}. In particular, the study by Ashraf et al. [4]} is based on the YouTube comment and replies collection introduced by Hammer et al. [2]} with additional annotation of its subset as whether a threat is directed towards a group or an individual. Another study [6]} collects a dataset of 2,304 YouTube comments with 6,139 replies in English and annotates it in two ways: a binary annotation for abusive language as well as a three class annotation for topics: politics, religion, and other.
